50% off Encyclopedia of Information Science and Technology, Third Edition (10-Volumes)

This discipline-defining encyclopedia serves research needs in numerous fields that are affected by the rapid pace
and substantial impact of technological change and is a must have for every academic library collection.
Expires 12/31/2016.

Abstract

Sparse coding theory demonstrates that the neurons in primary visual cortex form a sparse representation of natural scenes in the viewpoint of statistics, but a typical scene contains many different patterns (corresponding to neurons in cortex) competing for neural representation because of the limited processing capacity of the visual system. We propose an attention-guided sparse coding model (AGSC). This model includes two modules: non-uniform sampling module simulating the process of retina and data-driven attention module based on the response saliency (RS). Our experiment results show that the model notably decreases the number of coefficients that may be activated and retains the main vision information at the same time. It provides a way to improve the coding efficiency for sparse coding model and to achieve good performance in both population sparseness and lifetime sparseness.